prodlint
Active·★ 15·MIT·Updated 2026-09-27
prodlint is a static analysis tool designed to identify security, reliability, performance, and AI quality issues in 'vibe-coded' applications, often generated by AI assistants like Copilot. It offers 52 rules across four categories, providing zero-config setup and actionable fix suggestions to ensure production readiness.
#Static Analysis#Code Quality#Security Audit#AI Code Review#Production Readiness#Linting#Developer Tools
01
Features
01Comprehensive static analysis with 52 rules across security, reliability, performance, and AI quality categories.
02Zero-configuration setup and direct execution via npx, with no LLM dependency.
03Smart detection capabilities including AST parsing, monorepo support, and framework awareness (e.g., Next.js, ORMs).
04Provides actionable fix suggestions and offers various output formats like JSON and SARIF for CI/CD integration.
05Offers a 'Site Score' feature to check website readiness against AI agent-related standards.
02
Compatibility
Node.js
Runtime
Verified via docs
TypeScript
Language
Verified via docs
Next.js
Framework
Verified via docs
GitHub Actions
CI/CD
Verified via docs
MCP Compatible Editors
Editor Integration
Verified via docs
03
Quick start
1
$ npm i -D prodlint
04
Use cases
↳Automatically identify and fix security vulnerabilities, hardcoded secrets, and authentication issues in AI-generated code.
↳Integrate into CI/CD pipelines using GitHub Actions to enforce code quality and production readiness thresholds.
↳Gradually adopt linting in existing projects using baselining to focus only on new findings.
↳Enhance AI-powered editor workflows (e.g., Cursor, Claude Code) by running prodlint scans directly within the development environment.
↳Evaluate website compliance with emerging AI agent standards and identify areas for improvement in AI agent-readiness.
05
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